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Senior Business Intelligence Developer Jobs in Iowa

GoodLeap

Business Development Manager

Des Moines, IA

$60 - $100K/hr

... developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for ...

Emerson

Senior, Analytics Analyst

Marshalltown, IA · On-site

$81K - $108K/yr

Collaborate closely with product management, sales, engineering, operations, and other business ... Five (5) or more years of experience in data analytics, business intelligence, or related ...

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How much do senior business intelligence developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for senior business intelligence developer in Iowa is $56.41, according to ZipRecruiter salary data. Most workers in this role earn between $49.66 and $60.72 per hour, depending on experience, location, and employer.

What does a senior business intelligence developer do?

A Senior Business Intelligence (BI) Developer designs, develops, and maintains advanced data analytics and reporting solutions to help organizations make informed business decisions. They work with databases, data warehouses, and reporting tools to extract, transform, and visualize data in meaningful ways. In addition to technical skills, Senior BI Developers often collaborate with stakeholders to understand business requirements, optimize data processes, and mentor junior team members. Their expertise ensures that data-driven insights are accurate, accessible, and actionable for decision-makers.

What are the key skills and qualifications needed to thrive as a senior business intelligence developer?

To thrive as a Senior Business Intelligence Developer, you need advanced expertise in data modeling, SQL, ETL processes, and analytics, typically backed by a degree in computer science, information systems, or a related field. Mastery of BI tools like Power BI, Tableau, SSRS, and familiarity with data warehousing systems and relevant certifications (e.g., Microsoft Certified: Data Analyst Associate) are essential. Strong problem-solving, collaboration, and communication skills help in translating business requirements into actionable insights and working effectively with stakeholders. These competencies ensure the delivery of accurate, actionable data that drives strategic decision-making and business success.

How does a senior business intelligence developer typically collaborate with cross-functional teams to deliver data-driven solutions?

As a Senior Business Intelligence Developer, you will work closely with stakeholders across departments such as IT, marketing, finance, and operations. You’ll gather requirements, translate business needs into technical solutions, and often lead data modeling, ETL, and dashboard development efforts. Regularly participating in team meetings and consulting with subject matter experts ensures the solutions you build are aligned with organizational goals. This role requires strong communication skills and the ability to bridge gaps between technical and non-technical teams to deliver actionable insights.

What is the difference between Senior Business Intelligence Developer vs Business Intelligence Analyst?

AspectSenior Business Intelligence DeveloperBusiness Intelligence Analyst
Required CredentialsBachelor's in CS, Data Science, or related; often certifications in BI toolsBachelor's in related fields; may have certifications in BI or data analysis
Work EnvironmentDevelops and maintains BI systems, works with data engineersAnalyzes data, creates reports, supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon across various industries for data-driven insights

The Senior Business Intelligence Developer primarily focuses on designing, developing, and maintaining BI systems, requiring technical expertise in data warehousing and ETL processes. In contrast, the Business Intelligence Analyst concentrates on analyzing data, creating reports, and providing insights to support business decisions. Both roles often require similar educational backgrounds and certifications but differ in their core responsibilities and daily tasks.

Is a senior business intelligence developer a good career?

A senior business intelligence developer is a valuable role that involves designing and managing data analysis tools, dashboards, and reporting systems using tools like SQL, Power BI, or Tableau. It offers strong job growth, competitive salaries, and opportunities to work across various industries, making it a solid career choice for those with technical skills and analytical expertise.

Is a senior business intelligence developer a high paying job?

A senior business intelligence developer typically earns a high salary compared to entry-level roles, reflecting their experience and expertise in data analysis, reporting, and tools like SQL and Tableau. Compensation varies by industry and location but generally includes competitive benefits and opportunities for advancement.

What is a senior business intelligence developer?

A senior business intelligence developer designs, develops, and maintains data analysis solutions, including dashboards and reports, to support strategic decision-making. They typically have expertise in BI tools like Tableau or Power BI, SQL, and data modeling, and often lead projects or mentor junior staff.

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Senior Business Intelligence Developer jobs near you
Infographic showing various Senior Business Intelligence Developer job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $117,341 per year, or $56.4 per hour.

Artificial Intelligence Engineer

Scalence L.L.C.

West Des Moines, IA • On-site

$113K - $135K/yr

Full-time

Re-posted 14 days ago

Job description

Job Summary:
Scalence L.L.C. is a company specializing in artificial intelligence solutions, and they are seeking an Artificial Intelligence Engineer to develop and implement AI-driven applications. The role involves working with various AI technologies and collaborating with different teams to deliver innovative solutions for business challenges.
Responsibilities:
• Proficiency in Python, REST APIs, React/Node.js, and cloud-native infrastructure (Docker, CI/CD) with 5 years of minimum experience in software engineering or data science, including 1 year in GenAI/LLM/Agentic AI
• Hands-on experience with AWS AI services (Bedrock, SageMaker, Textract, Translate, etc.)
• Experience with AI agent frameworks such as LangChain, AutoGen, LlamaIndex, or LangGraph
• Experience in designing and scaling RAG pipelines, vector search systems, and LLM evaluation workflows
• Familiarity with enterprise AI tools such as Claude, GPT-4/4o, ChatGPT Enterprise, Copilot, Glean, and Shelf
• Ingest and process unstructured/structured data (parsing, chunking, embeddings, retrieval)
• Develop intuitive user experiences powered by LLMs and AI agents for real-time workflows
• Drive document automation and multilingual NLP (summarization, translation, NER)
• Implement observability, governance, and responsible AI practices in compliance with regulations
• Collaborate with IT, data, compliance, and business leaders to deliver business-facing solutions
Qualifications:
Required:
• Proficiency in Python, REST APIs, React/Node.js, and cloud-native infrastructure (Docker, CI/CD) with 5 years of minimum experience in software engineering or data science, including 1 year in GenAI/LLM/Agentic AI
• Hands-on experience with AWS AI services (Bedrock, SageMaker, Textract, Translate, etc.)
• Experience with AI agent frameworks such as LangChain, AutoGen, LlamaIndex, or LangGraph
• Experience in designing and scaling RAG pipelines, vector search systems, and LLM evaluation workflows
• Familiarity with enterprise AI tools such as Claude, GPT-4/4o, ChatGPT Enterprise, Copilot, Glean, and Shelf
• Ingest and process unstructured/structured data (parsing, chunking, embeddings, retrieval)
• Develop intuitive user experiences powered by LLMs and AI agents for real-time workflows
• Drive document automation and multilingual NLP (summarization, translation, NER)
• Implement observability, governance, and responsible AI practices in compliance with regulations
• Collaborate with IT, data, compliance, and business leaders to deliver business-facing solutions
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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